Literature DB >> 25825370

Altered attention networks in benign childhood epilepsy with centrotemporal spikes (BECTS): A resting-state fMRI study.

Fenglai Xiao1, Lei Li2, Dongmei An1, Du Lei2, Yingying Tang1, Tianhua Yang1, Jiechuan Ren1, Sihan Chen1, Xiaoqi Huang2, Qiyong Gong3, Dong Zhou4.   

Abstract

It is noteworthy that some children with benign childhood epilepsy with centrotemporal spikes (BECTS) show attention problems despite their favorable seizure outcome. Resting-state functional magnetic resonance imaging (fMRI) is a method widely used to detect brain network alterations in neuropsychiatric diseases. We used resting-state functional magnetic resonance imaging (fMRI) to investigate specific brain networks related to attention deficit in children with BECTS. Resting-state fMRI was performed in patients with BECTS with ADHD (n=15) and those with BECTS without ADHD (n=15) and in healthy controls (n=15). Unbiased seed-based whole-brain functional connectivity analysis was used to study the connectivity pattern of three resting-state networks, including the ventral attention network (VAN) and the dorsal attention network (DAN) and the default mode network (DMN). Patients with BECTS with ADHD displayed decreased functional connectivity in the DAN compared with other two groups, while patients with BECTS without ADHD showed increased functional connectivity in the DAN. Moreover, we found increased functional connectivity in the VAN and in the DMN in patients with BECTS with or without ADHD when comparing with controls. These results showed that the newly-diagnosed children with BECTS displayed brain activity alterations in the ventral and dorsal attention networks. The difference in the extent of impairment in the dorsal attention network of patients with BECTS with ADHD and patients with BECTS without ADHD may lead to improved understanding of the underlying neuropathophysiology and treatment of BECTS with ADHD and BECTS without ADHD.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attention deficit and hyperactivity disorder; Benign childhood epilepsy with centrotemporal spikes; Functional connectivity; fMRI

Mesh:

Year:  2015        PMID: 25825370     DOI: 10.1016/j.yebeh.2015.01.016

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  12 in total

Review 1.  The epileptic network and cognition: What functional connectivity is teaching us about the childhood epilepsies.

Authors:  Joshua J Bear; Kevin E Chapman; Jason R Tregellas
Journal:  Epilepsia       Date:  2019-06-27       Impact factor: 5.864

2.  A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder.

Authors:  Amritha Harikumar; David W Evans; Chase C Dougherty; Kimberly L H Carpenter; Andrew M Michael
Journal:  Brain Connect       Date:  2021-02-18

3.  Voxel-wise Functional Connectivity of the Default Mode Network in Epilepsies: A Systematic Review and Meta-Analysis.

Authors:  Sisi Jiang; Hechun Li; Linli Liu; Dezhong Yao; Cheng Luo
Journal:  Curr Neuropharmacol       Date:  2022       Impact factor: 7.708

4.  Role of Language-Related Functional Connectivity in Patients with Benign Childhood Epilepsy with Centrotemporal Spikes.

Authors:  Hyeon Jin Kim; Jung Hwa Lee; Chang Hyun Park; Hye Sun Hong; Yun Seo Choi; Jeong Hyun Yoo; Hyang Woon Lee
Journal:  J Clin Neurol       Date:  2018-01       Impact factor: 3.077

5.  Structural Covariance Network of Cortical Gyrification in Benign Childhood Epilepsy with Centrotemporal Spikes.

Authors:  Lin Jiang; Tijiang Zhang; Fajin Lv; Shiguang Li; Heng Liu; Zhiwei Zhang; Tianyou Luo
Journal:  Front Neurol       Date:  2018-02-05       Impact factor: 4.003

6.  Antiepileptic Drug of Levetiracetam Decreases Centrotemporal Spike-Associated Activation in Rolandic Epilepsy.

Authors:  Qirui Zhang; Fang Yang; Zheng Hu; Qiang Xu; Boris C Bernhardt; Wei Quan; Qian Li; Zhiqiang Zhang; Guangming Lu
Journal:  Front Neurosci       Date:  2018-11-27       Impact factor: 4.677

7.  EEG Resting State Functional Connectivity Analysis in Children with Benign Epilepsy with Centrotemporal Spikes.

Authors:  Azeez Adebimpe; Ardalan Aarabi; Emilie Bourel-Ponchel; Mahdi Mahmoudzadeh; Fabrice Wallois
Journal:  Front Neurosci       Date:  2016-03-31       Impact factor: 4.677

8.  Interhemispheric Connectivity in Drug-Naive Benign Childhood Epilepsy With Centrotemporal Spikes: Combining Function and Diffusion MRI.

Authors:  Yun Wu; Gong-Jun Ji; Ke Li; Zhen Jin; Ya-Li Liu; Ya-Wei Zeng; Fang Fang
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

9.  Decreased functional connectivity within a language subnetwork in benign epilepsy with centrotemporal spikes.

Authors:  Colm J McGinnity; Anna B Smith; Siti N Yaakub; Sofia Weidenbach Gerbase; Anya Gammerman; Adam L Tyson; Tiffany K Bell; Marwa Elmasri; Gareth J Barker; Mark P Richardson; Deb K Pal
Journal:  Epilepsia Open       Date:  2017-04-27

10.  Changes in Dynamics Within and Between Resting-State Subnetworks in Juvenile Myoclonic Epilepsy Occur at Multiple Frequency Bands.

Authors:  Zhe Zhang; Guangyao Liu; Zhijun Yao; Weihao Zheng; Yuanwei Xie; Tao Hu; Yu Zhao; Yue Yu; Ying Zou; Jie Shi; Jing Yang; Tiancheng Wang; Jing Zhang; Bin Hu
Journal:  Front Neurol       Date:  2018-06-14       Impact factor: 4.003

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